Challenges and opportunities in machine learning for metal additive manufacturing: data scarcity and interpretability

Materials Today 2026

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Authors: Kai Guo, Songzhe Xu, Chang Sun, Wentao Yan, Jinhui Yan, Hao Yu, C Q Wang, Wei Xu, Jinguo Li, Zhongnan Bi, Tao Hu, Ruixin Zhao

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Yi-Xiang Wang, CX Chen, Zhongming Ren

DOI: 10.1016/j.mattod.2026.103371

Cited by: 3

References: 169

Fields of Study & Subjects

Additive Manufacturing Materials and Processes Machine Learning in Materials Science Digital Transformation in Industry

References 169